Research Associate, AI for Biomedicine LKCMedicine
4 days ago
The MVAIT lab at Nanyang Technological University conducts high-quality research on AI for medicine, focusing on the development of tools and solutions that enhance clinical efficiency and introduce affordable biomedical technology.
As a Research Associate, you will be responsible for conducting research on medical imaging data processing, 3D reconstruction, and AI algorithms with surgical robotics. Your tasks will include designing and implementing state-of-the-art algorithms, developing and refining AI tools for diverse medical domains, and collaborating with external researchers to ensure project practicality and clinical relevance.
Key Responsibilities:- Design and implement AI algorithms to analyze medical datasets, including MR, CT, X-ray, and microscopy data.
- Conduct research on high-precision medical analysis and data interpretation.
- Develop, test, and refine AI tools for different medical domains, ensuring the efficiency of the tools in real-world medical settings.
- Design dashboards or visualization tools to incorporate implemented AI algorithms, utilizing VR/AR equipment and 3D visualization to enhance clinician understanding and facilitate student training.
- Collaborate with radiologists, surgeons, and roboticists to ensure project practicality and clinical relevance.
- Assist in developing AI-assisted robotic solutions for surgical procedures, including pre-operative planning and intra-operative guidance.
- Analyze and interpret data outcomes from AI models and medical procedures to provide critical insights and suggestions for improvements.
- Stay aligned with the latest advancements in medical imaging, image processing, and robotics to ensure forefront research.
- Publish articles in high-quality journals to share research with the broader scientific community.
- Participate in drafting research projects to secure funding and contribute to the lab's strategic research direction.
- Ensure research activities adhere to ethical guidelines and patient data privacy regulations.
- Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, or associated programs.
- Strong experience in deep learning, AI, computer vision, machine learning, medical image analysis, healthcare.
- Expert knowledge of Python, C++, PyTorch, TensorFlow, etc.
- Experience in analyzing medical imaging datasets.
- Medical software implementation experience is a plus.
- Ability to communicate data science models to non-data science audiences using simple language.
- Existing publications in top-tier AI or computer vision journals/conferences are preferred.
- Strong motivation in state-of-the-art research and publication.
Hiring Institution: LKC
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